Forensic Data Analyst

4 days ago


Sydney, New South Wales, Australia beBeeData Full time $100,000 - $150,000

The Forensic Data Analytics team is seeking a skilled professional to join its ranks. As a key member of the team, you will be responsible for shaping the future of forensic data analysis.

Key Responsibilities
  • You will work with large datasets from diverse sources to support investigations, disputes, and proactive risk detection.
  • Your role will involve developing algorithms, data mining, and data analytic solutions to assist clients with detection of fraud, bribery and corruption; irregular financial transactions; anomalous employee behaviour; and to target error and waste in their operations.
  • You will collaborate with cross-functional teams to extract, validate, transform and load high-volume structured and unstructured data for deeper analysis.
  • In addition, you will support senior team members in the preparation and presentation of client deliverables, including using visualisation software to clearly present the benefits of the analysis to clients.
Skills and Qualifications
  • You will need strong problem-solving and critical thinking skills to effectively communicate technical information in non-technical language.
  • A proficiency in data manipulation languages such as SQL, statistical techniques (regression, clustering etc.) and analytical and modelling tools like Alteryx, Python, R or similar packages will be beneficial.
  • Able to hypothesise, analyse and draw conclusions from financial and operational data.
What We Offer
  • Career development: Develop future-focused skills and equip yourself with world-class experiences.
  • Flexible work arrangements: Balance your professional and personal life, fostering a culture of trust and autonomy.
  • A comprehensive benefits package: Cater to your diverse needs to help you thrive both personally and professionally.
  • Salary: Competitive salary open to negotiation depending on skills and experience.
About Us

We value diversity, equity, and inclusiveness and encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities.


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